Attention-Based Multimodal Deep Learning on Vision-Language Data: Models, Datasets, Tasks, Evaluation Metrics and Applications

Attention-Based Multimodal Deep Learning on Vision-Language Data: Models, Datasets, Tasks, Evaluation Metrics and Applications

Multimodal learning has gained immense popularity due to the explosive growth in the volume of image and textual data in various domains. Vision-language heterogeneous multimodal data has been utilized to solve a variety of tasks including classification, image segmentation, image captioning, questi...

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Bibliographic Details
Main Authors: Priyankar Bose, Pratip Rana, Preetam Ghosh
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Attention mechanism
data fusion
multimodal learning
vision-language classification
vision-language question-answering
vision-language segmentation
Online Access:https://ieeexplore.ieee.org/document/10197152/

Internet

https://ieeexplore.ieee.org/document/10197152/

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